The last piece of Mike Dobson on the complexity of disambiguating places on maps is hard stuff.
Save your time and don't read it if you still want to understand maps as just shiny tiles quickly sent to your screen.
Otherwise - make sure to also read Mike
Blumenthals comment at the original article Dobson is referring, expanding further into the broad range of issues (typos left as quoted):
It is a huge problem, Google gathering data from Streetview cars, governement data, parcel data and user content does a pretty good job when they good data sets.
I have heard that there is a “distance decay” function in map data…the less population & the furhter away from urban areas the worse the data. If Google doesn’t have good streetview data and there is little user generated content, as you have pointed out the government data is suspect then the outcome will not be that great.
Dobson gets unusually angry in his last paragraphs:
Maybe Google should hire some geographers? Nah, all you need is Algorithms. Well, maybe you need algorithms and somebody who understand how they should be associated. Perhaps that’s no longer in vogue at Google?
That's a true notion certainly. Algorithms and engineers are one part of the equation. Making sense of geography still needs some subject matter expertise beyond algorithmic wizardness.

Google Mapping Nairobi inhouse ... what's next?